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"双碳"目标下中国工业部门氢能需求量测算及供给结构路径优化

李忻颖 唐旭 许传博 王敏 马美艳

天然气工业2024,Vol.44Issue(5):146-156,11.
天然气工业2024,Vol.44Issue(5):146-156,11.DOI:10.3787/j.issn.1000-0976.2024.05.013

"双碳"目标下中国工业部门氢能需求量测算及供给结构路径优化

Towards China's"dual carbon"goals:Industrial hydrogen demand estimation and supply structure optimization

李忻颖 1唐旭 1许传博 2王敏 1马美艳1

作者信息

  • 1. 中国石油大学(北京)经济管理学院
  • 2. 华北电力大学经济与管理学院
  • 折叠

摘要

Abstract

Under the national drive to achieve carbon peak and carbon neutrality("dual carbon"),it is imperative for China's energy system to accelerate the pace towards low-carbon transition.The industrial sector,with high dependency upon traditional fossil fuels and materials,is very hard to decarbonize in so many fields.Luckily,abundant,green and scalable hydrogen offers a feasible solution to the problem.As such,a three-stage model was set up to estimate the hydrogen demand of key industrial industries,and to explore optimized pathways towards hydrogen supply.The results show that:1)major hydrogen consumption comes from steel and iron,cement,methanol and ammonia synthesis,all being hard-to-debate by electrification process;2)under the reference scenario,high penetration and low penetration scenarios,the estimated hydrogen demand in 2060 is 2 509.1×104 t,5 037.8×104 t,6 865.7×104 t,respectively;3)the supply structure will shift to green hydrogen(renewables)from gray hydrogen(fossil energy);4)with increasing application of green hydrogen,it's estimated that between 2020 and 2060,hydrogen would replace coals of 41.7×108 tce and petroleum of 11.3×108 tce,reducing 16.7%of carbon emissions.In summary,scaling up hydrogen development is essential for China's industrial sectors to cut energy demand and carbon emissions.

关键词

中国/工业部门/氢能需求/供给结构/能源替代/减排贡献

Key words

China/Industrial sector/Hydrogen demand/Supply structure/Energy substitution/Emission abatement

分类

能源科技

引用本文复制引用

李忻颖,唐旭,许传博,王敏,马美艳.."双碳"目标下中国工业部门氢能需求量测算及供给结构路径优化[J].天然气工业,2024,44(5):146-156,11.

基金项目

国家自然科学基金项目"多重目标下中国油气生产的锁定碳排放与解锁策略研究"(编号:72174206). (编号:72174206)

天然气工业

OA北大核心CSTPCDEI

1000-0976

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